Neural Network Modeling of Probabilities for Coding the Octree Representation of Point Clouds

Author:

Kaya Emre Can1,Tabus Ioan1

Affiliation:

1. Tampere University,Computing Sciences Unit,Tampere,Finland

Publisher

IEEE

Reference12 articles.

1. Refining The Bounding Volumes for Lossless Compression of Voxelized Point Clouds Geometry

2. Intra-Frame Compression of Point Cloud Geometry Using Dyadic Decomposition

3. Common test conditions for point cloud compression;schwarz;Document ISO/IEC JTC1/SC29/WG11 w17766 Ljubljana Slovenia,2018

4. Multiscale deep context modeling for lossless point cloud geometry compression

5. Reference arithmetic coding;nayuki,0

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1. OctPCGC-Net: Learning Octree-Structured Context Entropy Model for Point Cloud Geometry Compression;Pattern Recognition and Computer Vision;2023-12-24

2. Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model;IEEE Transactions on Circuits and Systems for Video Technology;2023-08

3. Efficient Hierarchical Entropy Model for Learned Point Cloud Compression;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

4. Thermal Noise Analysis of Ring Amplifier in Cyclic Analog-to-Digital Converter;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2023-05-01

5. The Multi-View Deep Visual Adaptive Graph Convolution Network and Its Application in Point Cloud;Traitement du Signal;2023-02-28

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